A Data Quality Control Program for Computer-Assisted Personal Interviews
نویسندگان
چکیده
منابع مشابه
A Data Quality Control Program for Computer-Assisted Personal Interviews
Researchers strive to optimize data quality in order to ensure that study findings are valid and reliable. In this paper, we describe a data quality control program designed to maximize quality of survey data collected using computer-assisted personal interviews. The quality control program comprised three phases: (1) software development, (2) an interviewer quality control protocol, and (3) a ...
متن کاملProgram Partitioning for a Control/data Driven Computer Program Partitioning for a Control/data Driven Computer ?
The paper examines the problem of dataaow graph partitioning aiming to improve the eeciency of macro-dataaow computing on a hybrid control/data driven architecture. The partitioning consists of dataaow graph synchronization and scheduling of the synchronous graph. A new scheduling algorithm, called Global Arc Minimization (GAM), is introduced. The performance of the GAM algorithm is evaluated r...
متن کاملComputer-assisted software transcription of qualitative interviews.
John Alcock and Ron Iphofen examine a method to assist with interview transcription using free, open source computer software and digital recordings, and consider some underlying practical, ethical and philosophical issues.
متن کاملComputer-assisted quality control in clinical chemistry.
A MUMPS comuter program, which stores and retrieves quality-control data from all automated and manual work-station in the laboratory, has been developed as part of a laboratory information system. Tabular displays, Levey-Jennings charts, and summary statistics are available on a real-time basis. Significant economy over previous manual methods has been observed, and the total quality-control p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nursing Research and Practice
سال: 2012
ISSN: 2090-1429,2090-1437
DOI: 10.1155/2012/303816